{"id":"W4205523512","doi":"10.1016/j.gecco.2022.e02007","title":"Fish assemblage monitoring in Alberta’s Ells River: Baseline fish and habitat variability prior to major development","year":2022,"lang":"en","type":"article","venue":"Global Ecology and Conservation","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada; Alberta Environment and Parks","keywords":"Electrofishing; Assemblage (archaeology); Habitat; Tributary; Environmental science; Transect; Baseline (sea); Ecology; Geography; Fishery; Biology; Cartography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007179636,0.00009717057,0.000134753,0.00002327991,0.0004202922,0.000009388901,0.0000857629,0.00005198835,0.0002697296],"category_scores_gemma":[0.0001915565,0.0001105177,0.00000947345,0.000175581,0.0001019787,0.0001169842,0.0006260618,0.0000861402,0.00002060133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002954882,"about_ca_system_score_gemma":0.00001551799,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007711287,"about_ca_topic_score_gemma":0.09831012,"domain_scores_codex":[0.9990271,0.0001639912,0.0001932071,0.0003241973,0.00008255279,0.0002089984],"domain_scores_gemma":[0.9996494,0.0001679066,0.00004989237,0.00008059053,0.000006824201,0.00004539252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005231581,0.00007920268,0.982627,0.00000850607,0.00001374101,0.000006538824,0.0003398494,0.0001051766,0.00001436481,0.0001512301,0.01510978,0.001492323],"study_design_scores_gemma":[0.0004018898,0.00006916775,0.9743516,0.000002016934,0.00001173997,0.000002551854,0.0001867482,0.0001665374,0.00001496226,0.0007476866,0.02393739,0.000107683],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798751,0.0000026811,0.00005458281,0.01804792,0.0001735487,0.0003580162,0.000009620514,0.000014853,0.001463609],"genre_scores_gemma":[0.9887189,0.00001186293,0.00110798,0.009608825,0.000008238181,0.0001671862,0.00001388281,0.000002605225,0.0003605623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09753899,"threshold_uncertainty_score":0.9181434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007641551600632509,"score_gpt":0.2165480034423695,"score_spread":0.208906451841737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}